diff --git a/pr_agent/settings/configuration.toml b/pr_agent/settings/configuration.toml
index b464b1e92..9655c95db 100644
--- a/pr_agent/settings/configuration.toml
+++ b/pr_agent/settings/configuration.toml
@@ -183,6 +183,7 @@ enable_help_text=true
 final_update_message = false
 
 [pr_help] # /help #
+force_local_db=false
 
 [pr_config] # /config #
 
diff --git a/pr_agent/tools/pr_help_message.py b/pr_agent/tools/pr_help_message.py
index 720b470dc..5b86e6d64 100644
--- a/pr_agent/tools/pr_help_message.py
+++ b/pr_agent/tools/pr_help_message.py
@@ -1,106 +1,350 @@
+import os
+import traceback
+import zipfile
+import tempfile
+import copy
+from functools import partial
+
+from jinja2 import Environment, StrictUndefined
+
+from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler
+from pr_agent.algo.ai_handlers.litellm_ai_handler import LiteLLMAIHandler
+from pr_agent.algo.pr_processing import retry_with_fallback_models
+from pr_agent.algo.token_handler import TokenHandler
+from pr_agent.algo.utils import ModelType, load_yaml
 from pr_agent.config_loader import get_settings
-from pr_agent.git_providers import get_git_provider, GithubProvider
+from pr_agent.git_providers import get_git_provider, GithubProvider, BitbucketServerProvider, \
+    get_git_provider_with_context
 from pr_agent.log import get_logger
 
 
+def extract_header(snippet):
+    res = ''
+    lines = snippet.split('===Snippet content===')[0].split('\n')
+    highest_header = ''
+    highest_level = float('inf')
+    for line in lines[::-1]:
+        line = line.strip()
+        if line.startswith('Header '):
+            highest_header = line.split(': ')[1]
+    if highest_header:
+        res = f"#{highest_header.lower().replace(' ', '-')}"
+    return res
+
 class PRHelpMessage:
-    def __init__(self, pr_url: str, args=None, ai_handler=None):
-        self.git_provider = get_git_provider()(pr_url)
+    def __init__(self, pr_url: str, args=None, ai_handler: partial[BaseAiHandler,] = LiteLLMAIHandler):
+        self.git_provider = get_git_provider_with_context(pr_url)
+        self.ai_handler = ai_handler()
+        self.question_str = self.parse_args(args)
+        if self.question_str:
+            self.vars = {
+                "question": self.question_str,
+                "snippets": "",
+            }
+            self.token_handler = TokenHandler(None,
+                                              self.vars,
+                                              get_settings().pr_help_prompts.system,
+                                              get_settings().pr_help_prompts.user)
+
+    async def _prepare_prediction(self, model: str):
+        try:
+            variables = copy.deepcopy(self.vars)
+            environment = Environment(undefined=StrictUndefined)
+            system_prompt = environment.from_string(get_settings().pr_help_prompts.system).render(variables)
+            user_prompt = environment.from_string(get_settings().pr_help_prompts.user).render(variables)
+            response, finish_reason = await self.ai_handler.chat_completion(
+                model=model, temperature=get_settings().config.temperature, system=system_prompt, user=user_prompt)
+            return response
+        except Exception as e:
+            get_logger().error(f"Error while preparing prediction: {e}")
+            return ""
+
+    def parse_args(self, args):
+        if args and len(args) > 0:
+            question_str = " ".join(args)
+        else:
+            question_str = ""
+        return question_str
+
+    def get_sim_results_from_s3_db(self, embeddings):
+        get_logger().info("Loading the S3 index...")
+        sim_results = []
+        try:
+            from langchain_chroma import Chroma
+            import boto3
+            with tempfile.TemporaryDirectory() as temp_dir:
+                # Define the local file path within the temporary directory
+                local_file_path = os.path.join(temp_dir, 'chroma_db.zip')
+
+                # Initialize the S3 client
+                s3 = boto3.client('s3')
+
+                # Download the file from S3 to the temporary directory
+                bucket = 'pr-agent'
+                file_name = 'chroma_db.zip'
+                s3.download_file(bucket, file_name, local_file_path)
+
+                # Extract the contents of the zip file
+                with zipfile.ZipFile(local_file_path, 'r') as zip_ref:
+                    zip_ref.extractall(temp_dir)
+
+                vectorstore = Chroma(persist_directory=temp_dir + "/chroma_db",
+                                     embedding_function=embeddings)
+                sim_results = vectorstore.similarity_search_with_score(self.question_str, k=4)
+        except Exception as e:
+            get_logger().error(f"Error while getting sim from S3: {e}",
+                               artifact={"traceback": traceback.format_exc()})
+        return sim_results
+
+    def get_sim_results_from_local_db(self, embeddings):
+        get_logger().info("Loading the local index...")
+        sim_results = []
+        try:
+            from langchain_chroma import Chroma
+            get_logger().info("Loading the Chroma index...")
+            with tempfile.TemporaryDirectory() as temp_dir:
+                db_path = "./docs/chroma_db.zip"
+
+                # Extract the ZIP file
+                with zipfile.ZipFile(db_path, 'r') as zip_ref:
+                    zip_ref.extractall(temp_dir)
+
+                vectorstore = Chroma(persist_directory=temp_dir + "/chroma_db",
+                                     embedding_function=embeddings)
+
+                # Do similarity search
+                sim_results = vectorstore.similarity_search_with_score(self.question_str, k=4)
+        except Exception as e:
+            get_logger().error(f"Error while getting sim from local db: {e}",
+                               artifact={"traceback": traceback.format_exc()})
+        return sim_results
+
+    def get_sim_results_from_pinecone_db(self, embeddings):
+        get_logger().info("Loading the Pinecone index...")
+        sim_results = []
+        try:
+            from langchain_pinecone import PineconeVectorStore
+            INDEX_NAME = "pr-agent-docs"
+            vectorstore = PineconeVectorStore(
+                index_name=INDEX_NAME, embedding=embeddings,
+                pinecone_api_key=get_settings().pinecone.api_key
+            )
+
+            # Do similarity search
+            sim_results = vectorstore.similarity_search_with_score(self.question_str, k=4)
+        except Exception as e:
+            get_logger().error(f"Error while getting sim from Pinecone db: {e}",
+                               artifact={"traceback": traceback.format_exc()})
+        return sim_results
 
     async def run(self):
         try:
-            if not self.git_provider.is_supported("gfm_markdown"):
-                self.git_provider.publish_comment(
-                    "The `Help` tool requires gfm markdown, which is not supported by your code platform.")
-                return
-
-            get_logger().info('Getting PR Help Message...')
-            relevant_configs = {'pr_help': dict(get_settings().pr_help),
-                                'config': dict(get_settings().config)}
-            get_logger().debug("Relevant configs", artifacts=relevant_configs)
-            pr_comment = "## PR Agent Walkthrough 🤖\n\n"
-            pr_comment += "Welcome to the PR Agent, an AI-powered tool for automated pull request analysis, feedback, suggestions and more."""
-            pr_comment += "\n\nHere is a list of tools you can use to interact with the PR Agent:\n"
-            base_path = "https://pr-agent-docs.codium.ai/tools"
-
-            tool_names = []
-            tool_names.append(f"[DESCRIBE]({base_path}/describe/)")
-            tool_names.append(f"[REVIEW]({base_path}/review/)")
-            tool_names.append(f"[IMPROVE]({base_path}/improve/)")
-            tool_names.append(f"[UPDATE CHANGELOG]({base_path}/update_changelog/)")
-            tool_names.append(f"[ADD DOCS]({base_path}/documentation/) 💎")
-            tool_names.append(f"[TEST]({base_path}/test/) 💎")
-            tool_names.append(f"[IMPROVE COMPONENT]({base_path}/improve_component/) 💎")
-            tool_names.append(f"[ANALYZE]({base_path}/analyze/) 💎")
-            tool_names.append(f"[ASK]({base_path}/ask/)")
-            tool_names.append(f"[GENERATE CUSTOM LABELS]({base_path}/custom_labels/) 💎")
-            tool_names.append(f"[CI FEEDBACK]({base_path}/ci_feedback/) 💎")
-            tool_names.append(f"[CUSTOM PROMPT]({base_path}/custom_prompt/) 💎")
-            tool_names.append(f"[SIMILAR ISSUE]({base_path}/similar_issues/)")
-
-            descriptions = []
-            descriptions.append("Generates PR description - title, type, summary, code walkthrough and labels")
-            descriptions.append("Adjustable feedback about the PR, possible issues, security concerns, review effort and more")
-            descriptions.append("Code suggestions for improving the PR")
-            descriptions.append("Automatically updates the changelog")
-            descriptions.append("Generates documentation to methods/functions/classes that changed in the PR")
-            descriptions.append("Generates unit tests for a specific component, based on the PR code change")
-            descriptions.append("Code suggestions for a specific component that changed in the PR")
-            descriptions.append("Identifies code components that changed in the PR, and enables to interactively generate tests, docs, and code suggestions for each component")
-            descriptions.append("Answering free-text questions about the PR")
-            descriptions.append("Generates custom labels for the PR, based on specific guidelines defined by the user")
-            descriptions.append("Generates feedback and analysis for a failed CI job")
-            descriptions.append("Generates custom suggestions for improving the PR code, derived only from a specific guidelines prompt defined by the user")
-            descriptions.append("Automatically retrieves and presents similar issues")
-
-            commands  =[]
-            commands.append("`/describe`")
-            commands.append("`/review`")
-            commands.append("`/improve`")
-            commands.append("`/update_changelog`")
-            commands.append("`/add_docs`")
-            commands.append("`/test`")
-            commands.append("`/improve_component`")
-            commands.append("`/analyze`")
-            commands.append("`/ask`")
-            commands.append("`/generate_labels`")
-            commands.append("`/checks`")
-            commands.append("`/custom_prompt`")
-            commands.append("`/similar_issue`")
-
-            checkbox_list = []
-            checkbox_list.append(" - [ ] Run <!-- /describe -->")
-            checkbox_list.append(" - [ ] Run <!-- /review -->")
-            checkbox_list.append(" - [ ] Run <!-- /improve -->")
-            checkbox_list.append(" - [ ] Run <!-- /update_changelog -->")
-            checkbox_list.append(" - [ ] Run <!-- /add_docs -->")
-            checkbox_list.append(" - [ ] Run <!-- /test -->")
-            checkbox_list.append(" - [ ] Run <!-- /improve_component -->")
-            checkbox_list.append(" - [ ] Run <!-- /analyze -->")
-            checkbox_list.append("[*]")
-            checkbox_list.append("[*]")
-            checkbox_list.append("[*]")
-            checkbox_list.append("[*]")
-            checkbox_list.append("[*]")
-            checkbox_list.append("[*]")
-            checkbox_list.append("[*]")
-            checkbox_list.append("[*]")
-
-            if isinstance(self.git_provider, GithubProvider) and not get_settings().config.get('disable_checkboxes', False):
-                pr_comment += f"<table><tr align='left'><th align='left'>Tool</th><th align='left'>Description</th><th align='left'>Trigger Interactively :gem:</th></tr>"
-                for i in range(len(tool_names)):
-                    pr_comment += f"\n<tr><td align='left'>\n\n<strong>{tool_names[i]}</strong></td>\n<td>{descriptions[i]}</td>\n<td>\n\n{checkbox_list[i]}\n</td></tr>"
-                pr_comment += "</table>\n\n"
-                pr_comment += f"""\n\n(1) Note that each tool be [triggered automatically](https://pr-agent-docs.codium.ai/usage-guide/automations_and_usage/#github-app-automatic-tools-when-a-new-pr-is-opened) when a new PR is opened, or called manually by [commenting on a PR](https://pr-agent-docs.codium.ai/usage-guide/automations_and_usage/#online-usage)."""
-                pr_comment += f"""\n\n(2) Tools marked with [*] require additional parameters to be passed. For example, to invoke the `/ask` tool, you need to comment on a PR: `/ask "<question content>"`. See the relevant documentation for each tool for more details."""
+            if self.question_str:
+                get_logger().info(f'Answering a PR question about the PR {self.git_provider.pr_url} ')
+
+                if not get_settings().openai.key:
+                    if get_settings().config.publish_output:
+                        self.git_provider.publish_comment(
+                            "The `Help` tool chat requires an OpenAI API key, which is not configured.")
+                    else:
+                        get_logger().error("The `Help` tool chat requires an OpenAI API key, which is not configured.")
+                    return
+
+                # Initialize embeddings
+                from langchain_openai import OpenAIEmbeddings
+                embeddings = OpenAIEmbeddings(model="text-embedding-ada-002",
+                                              api_key=get_settings().openai.key)
+
+                # Get similar snippets via similarity search
+                if get_settings().pr_help.force_local_db:
+                    sim_results = self.get_sim_results_from_local_db(embeddings)
+                elif get_settings().pinecone.api_key:
+                    sim_results = self.get_sim_results_from_pinecone_db(embeddings)
+                else:
+                    sim_results = self.get_sim_results_from_s3_db(embeddings)
+                    if not sim_results:
+                        get_logger().info("Failed to load the S3 index. Loading the local index...")
+                        sim_results = self.get_sim_results_from_local_db(embeddings)
+
+                # Prepare relevant snippets
+                relevant_pages_full, relevant_snippets_full_header, relevant_snippets_str =\
+                    await self.prepare_relevant_snippets(sim_results)
+                self.vars['snippets'] = relevant_snippets_str.strip()
+
+                # run the AI model
+                response = await retry_with_fallback_models(self._prepare_prediction, model_type=ModelType.REGULAR)
+                response_yaml = load_yaml(response)
+                response_str = response_yaml.get('response')
+                relevant_snippets_numbers = response_yaml.get('relevant_snippets')
+
+                # prepare the answer
+                answer_str = ""
+                if response_str:
+                    answer_str += f"### Question: \n{self.question_str}\n\n"
+                    answer_str += f"### Answer:\n{response_str.strip()}\n\n"
+                    answer_str += f"#### Relevant Sources:\n\n"
+                    paged_published = []
+                    for page in relevant_snippets_numbers:
+                        page = int(page - 1)
+                        if page < len(relevant_pages_full) and page >= 0:
+                            if relevant_pages_full[page] in paged_published:
+                                continue
+                            link = f"{relevant_pages_full[page]}{relevant_snippets_full_header[page]}"
+                            # answer_str += f"> - [{relevant_pages_full[page]}]({link})\n"
+                            answer_str += f"> - {link}\n"
+                            paged_published.append(relevant_pages_full[page])
+
+                # publish the answer
+                if get_settings().config.publish_output:
+                    self.git_provider.publish_comment(answer_str)
+                else:
+                    get_logger().info(f"Answer: {response}")
             else:
-                pr_comment += f"<table><tr align='left'><th align='left'>Tool</th><th align='left'>Command</th><th align='left'>Description</th></tr>"
-                for i in range(len(tool_names)):
-                    pr_comment += f"\n<tr><td align='left'>\n\n<strong>{tool_names[i]}</strong></td><td>{commands[i]}</td><td>{descriptions[i]}</td></tr>"
-                pr_comment += "</table>\n\n"
-                pr_comment += f"""\n\nNote that each tool be [invoked automatically](https://pr-agent-docs.codium.ai/usage-guide/automations_and_usage/) when a new PR is opened, or called manually by [commenting on a PR](https://pr-agent-docs.codium.ai/usage-guide/automations_and_usage/#online-usage)."""
-            if get_settings().config.publish_output:
-                self.git_provider.publish_comment(pr_comment)
+                if not isinstance(self.git_provider, BitbucketServerProvider) and not self.git_provider.is_supported("gfm_markdown"):
+                    self.git_provider.publish_comment(
+                        "The `Help` tool requires gfm markdown, which is not supported by your code platform.")
+                    return
+
+                get_logger().info('Getting PR Help Message...')
+                relevant_configs = {'pr_help': dict(get_settings().pr_help),
+                                    'config': dict(get_settings().config)}
+                get_logger().debug("Relevant configs", artifacts=relevant_configs)
+                pr_comment = "## PR Agent Walkthrough 🤖\n\n"
+                pr_comment += "Welcome to the PR Agent, an AI-powered tool for automated pull request analysis, feedback, suggestions and more."""
+                pr_comment += "\n\nHere is a list of tools you can use to interact with the PR Agent:\n"
+                base_path = "https://pr-agent-docs.codium.ai/tools"
+
+                tool_names = []
+                tool_names.append(f"[DESCRIBE]({base_path}/describe/)")
+                tool_names.append(f"[REVIEW]({base_path}/review/)")
+                tool_names.append(f"[IMPROVE]({base_path}/improve/)")
+                tool_names.append(f"[UPDATE CHANGELOG]({base_path}/update_changelog/)")
+                tool_names.append(f"[ADD DOCS]({base_path}/documentation/) 💎")
+                tool_names.append(f"[TEST]({base_path}/test/) 💎")
+                tool_names.append(f"[IMPROVE COMPONENT]({base_path}/improve_component/) 💎")
+                tool_names.append(f"[ANALYZE]({base_path}/analyze/) 💎")
+                tool_names.append(f"[ASK]({base_path}/ask/)")
+                tool_names.append(f"[GENERATE CUSTOM LABELS]({base_path}/custom_labels/) 💎")
+                tool_names.append(f"[CI FEEDBACK]({base_path}/ci_feedback/) 💎")
+                tool_names.append(f"[CUSTOM PROMPT]({base_path}/custom_prompt/) 💎")
+                tool_names.append(f"[SIMILAR ISSUE]({base_path}/similar_issues/)")
+
+                descriptions = []
+                descriptions.append("Generates PR description - title, type, summary, code walkthrough and labels")
+                descriptions.append("Adjustable feedback about the PR, possible issues, security concerns, review effort and more")
+                descriptions.append("Code suggestions for improving the PR")
+                descriptions.append("Automatically updates the changelog")
+                descriptions.append("Generates documentation to methods/functions/classes that changed in the PR")
+                descriptions.append("Generates unit tests for a specific component, based on the PR code change")
+                descriptions.append("Code suggestions for a specific component that changed in the PR")
+                descriptions.append("Identifies code components that changed in the PR, and enables to interactively generate tests, docs, and code suggestions for each component")
+                descriptions.append("Answering free-text questions about the PR")
+                descriptions.append("Generates custom labels for the PR, based on specific guidelines defined by the user")
+                descriptions.append("Generates feedback and analysis for a failed CI job")
+                descriptions.append("Generates custom suggestions for improving the PR code, derived only from a specific guidelines prompt defined by the user")
+                descriptions.append("Automatically retrieves and presents similar issues")
+
+                commands  =[]
+                commands.append("`/describe`")
+                commands.append("`/review`")
+                commands.append("`/improve`")
+                commands.append("`/update_changelog`")
+                commands.append("`/add_docs`")
+                commands.append("`/test`")
+                commands.append("`/improve_component`")
+                commands.append("`/analyze`")
+                commands.append("`/ask`")
+                commands.append("`/generate_labels`")
+                commands.append("`/checks`")
+                commands.append("`/custom_prompt`")
+                commands.append("`/similar_issue`")
+
+                checkbox_list = []
+                checkbox_list.append(" - [ ] Run <!-- /describe -->")
+                checkbox_list.append(" - [ ] Run <!-- /review -->")
+                checkbox_list.append(" - [ ] Run <!-- /improve -->")
+                checkbox_list.append(" - [ ] Run <!-- /update_changelog -->")
+                checkbox_list.append(" - [ ] Run <!-- /add_docs -->")
+                checkbox_list.append(" - [ ] Run <!-- /test -->")
+                checkbox_list.append(" - [ ] Run <!-- /improve_component -->")
+                checkbox_list.append(" - [ ] Run <!-- /analyze -->")
+                checkbox_list.append("[*]")
+                checkbox_list.append("[*]")
+                checkbox_list.append("[*]")
+                checkbox_list.append("[*]")
+                checkbox_list.append("[*]")
+                checkbox_list.append("[*]")
+                checkbox_list.append("[*]")
+                checkbox_list.append("[*]")
+
+                if isinstance(self.git_provider, GithubProvider) and not get_settings().config.get('disable_checkboxes', False):
+                    pr_comment += f"<table><tr align='left'><th align='left'>Tool</th><th align='left'>Description</th><th align='left'>Trigger Interactively :gem:</th></tr>"
+                    for i in range(len(tool_names)):
+                        pr_comment += f"\n<tr><td align='left'>\n\n<strong>{tool_names[i]}</strong></td>\n<td>{descriptions[i]}</td>\n<td>\n\n{checkbox_list[i]}\n</td></tr>"
+                    pr_comment += "</table>\n\n"
+                    pr_comment += f"""\n\n(1) Note that each tool be [triggered automatically](https://pr-agent-docs.codium.ai/usage-guide/automations_and_usage/#github-app-automatic-tools-when-a-new-pr-is-opened) when a new PR is opened, or called manually by [commenting on a PR](https://pr-agent-docs.codium.ai/usage-guide/automations_and_usage/#online-usage)."""
+                    pr_comment += f"""\n\n(2) Tools marked with [*] require additional parameters to be passed. For example, to invoke the `/ask` tool, you need to comment on a PR: `/ask "<question content>"`. See the relevant documentation for each tool for more details."""
+                elif isinstance(self.git_provider, BitbucketServerProvider):
+                    # only support basic commands in BBDC
+                    pr_comment = generate_bbdc_table(tool_names[:4], descriptions[:4])
+                else:
+                    pr_comment += f"<table><tr align='left'><th align='left'>Tool</th><th align='left'>Command</th><th align='left'>Description</th></tr>"
+                    for i in range(len(tool_names)):
+                        pr_comment += f"\n<tr><td align='left'>\n\n<strong>{tool_names[i]}</strong></td><td>{commands[i]}</td><td>{descriptions[i]}</td></tr>"
+                    pr_comment += "</table>\n\n"
+                    pr_comment += f"""\n\nNote that each tool be [invoked automatically](https://pr-agent-docs.codium.ai/usage-guide/automations_and_usage/) when a new PR is opened, or called manually by [commenting on a PR](https://pr-agent-docs.codium.ai/usage-guide/automations_and_usage/#online-usage)."""
+
+                if get_settings().config.publish_output:
+                    self.git_provider.publish_comment(pr_comment)
         except Exception as e:
-            get_logger().error(f"Error while running PRHelpMessage: {e}")
-        return ""
\ No newline at end of file
+            get_logger().exception(f"Error while running PRHelpMessage: {e}")
+        return ""
+
+    async def prepare_relevant_snippets(self, sim_results):
+        # Get relevant snippets
+        relevant_pages = []
+        relevant_snippets = []
+        relevant_snippets_full = []
+        relevant_pages_full = []
+        relevant_snippets_full_header = []
+        th = 0.75
+        for s in sim_results:
+            page = s[0].metadata['source']
+            content = s[0].page_content
+            score = s[1]
+            relevant_snippets_full.append(content)
+            relevant_snippets_full_header.append(extract_header(content))
+            relevant_pages_full.append(page)
+            if not relevant_pages:
+                relevant_pages.append(page)
+                relevant_snippets.append(content)
+            elif score > th:
+                if page not in relevant_pages:
+                    relevant_pages.append(page)
+                    relevant_snippets.append(content)
+        # build the snippets string
+        relevant_snippets_str = ""
+        for i, s in enumerate(relevant_snippets_full):
+            relevant_snippets_str += f"Snippet {i}:\n\n{s}\n\n"
+            relevant_snippets_str += "-------------------\n\n"
+        return relevant_pages_full, relevant_snippets_full_header, relevant_snippets_str
+
+
+def generate_bbdc_table(column_arr_1, column_arr_2):
+    # Generating header row
+    header_row = "| Tool  | Description | \n"
+
+    # Generating separator row
+    separator_row = "|--|--|\n"
+
+    # Generating data rows
+    data_rows = ""
+    max_len = max(len(column_arr_1), len(column_arr_2))
+    for i in range(max_len):
+        col1 = column_arr_1[i] if i < len(column_arr_1) else ""
+        col2 = column_arr_2[i] if i < len(column_arr_2) else ""
+        data_rows += f"| {col1} | {col2} |\n"
+
+    # Combine all parts to form the complete table
+    markdown_table = header_row + separator_row + data_rows
+    return markdown_table
diff --git a/requirements.txt b/requirements.txt
index 854e1d67a..05f13ad76 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,4 +1,4 @@
-aiohttp==3.9.4
+aiohttp==3.9.5
 anthropic[vertex]==0.21.3
 atlassian-python-api==3.41.4
 azure-devops==7.1.0b3
@@ -13,7 +13,7 @@ Jinja2==3.1.2
 litellm==1.43.13
 loguru==0.7.2
 msrest==0.7.1
-openai==1.40.6
+openai==1.46.0
 pytest==7.4.0
 PyGithub==1.59.*
 PyYAML==6.0.1
@@ -28,6 +28,12 @@ gunicorn==22.0.0
 pytest-cov==5.0.0
 pydantic==2.8.2
 html2text==2024.2.26
+# help bot
+langchain==0.3.0
+langchain-openai==0.2.0
+langchain-pinecone==0.2.0
+langchain-chroma==0.1.4
+chromadb==0.5.7
 # Uncomment the following lines to enable the 'similar issue' tool
 # pinecone-client
 # pinecone-datasets @ git+https://github.com/mrT23/pinecone-datasets.git@main