diff --git a/docs/docs/integrations/providers/pebblo/pebblo_retrieval_qa.ipynb b/docs/docs/integrations/providers/pebblo/pebblo_retrieval_qa.ipynb
index 14cd3c1603f..2e64dc8956f 100644
--- a/docs/docs/integrations/providers/pebblo/pebblo_retrieval_qa.ipynb
+++ b/docs/docs/integrations/providers/pebblo/pebblo_retrieval_qa.ipynb
@@ -60,6 +60,7 @@
     "**PebbloRetrievalQA chain supports the following vector databases:**\n",
     "- Qdrant\n",
     "- Pinecone\n",
+    "- Postgres(utilizing the pgvector extension)\n",
     "\n",
     "\n",
     "**Load vector database with authorization and semantic information in metadata:**\n",
diff --git a/libs/community/langchain_community/chains/pebblo_retrieval/base.py b/libs/community/langchain_community/chains/pebblo_retrieval/base.py
index 4fb76923148..97c939b4fce 100644
--- a/libs/community/langchain_community/chains/pebblo_retrieval/base.py
+++ b/libs/community/langchain_community/chains/pebblo_retrieval/base.py
@@ -272,14 +272,11 @@ class PebbloRetrievalQA(Chain):
         """
         Validate that the vectorstore of the retriever is supported vectorstores.
         """
-        if not any(
-            isinstance(retriever.vectorstore, supported_class)
-            for supported_class in SUPPORTED_VECTORSTORES
-        ):
+        if retriever.vectorstore.__class__.__name__ not in SUPPORTED_VECTORSTORES:
             raise ValueError(
                 f"Vectorstore must be an instance of one of the supported "
                 f"vectorstores: {SUPPORTED_VECTORSTORES}. "
-                f"Got {type(retriever.vectorstore).__name__} instead."
+                f"Got '{retriever.vectorstore.__class__.__name__}' instead."
             )
         return retriever
 
diff --git a/libs/community/langchain_community/chains/pebblo_retrieval/enforcement_filters.py b/libs/community/langchain_community/chains/pebblo_retrieval/enforcement_filters.py
index 1761acb09fb..570cbdfa783 100644
--- a/libs/community/langchain_community/chains/pebblo_retrieval/enforcement_filters.py
+++ b/libs/community/langchain_community/chains/pebblo_retrieval/enforcement_filters.py
@@ -13,7 +13,7 @@ The methods in this module are designed to work with different types of vector s
 """
 
 import logging
-from typing import List, Optional, Union
+from typing import Any, List, Optional, Union
 
 from langchain_core.vectorstores import VectorStoreRetriever
 
@@ -21,11 +21,33 @@ from langchain_community.chains.pebblo_retrieval.models import (
     AuthContext,
     SemanticContext,
 )
-from langchain_community.vectorstores import Pinecone, Qdrant
 
 logger = logging.getLogger(__name__)
 
-SUPPORTED_VECTORSTORES = [Pinecone, Qdrant]
+PINECONE = "Pinecone"
+QDRANT = "Qdrant"
+PGVECTOR = "PGVector"
+
+SUPPORTED_VECTORSTORES = {PINECONE, QDRANT, PGVECTOR}
+
+
+def clear_enforcement_filters(retriever: VectorStoreRetriever) -> None:
+    """
+    Clear the identity and semantic enforcement filters in the retriever search_kwargs.
+    """
+    if retriever.vectorstore.__class__.__name__ == PGVECTOR:
+        search_kwargs = retriever.search_kwargs
+        if "filter" in search_kwargs:
+            filters = search_kwargs["filter"]
+            _pgvector_clear_pebblo_filters(
+                search_kwargs, filters, "authorized_identities"
+            )
+            _pgvector_clear_pebblo_filters(
+                search_kwargs, filters, "pebblo_semantic_topics"
+            )
+            _pgvector_clear_pebblo_filters(
+                search_kwargs, filters, "pebblo_semantic_entities"
+            )
 
 
 def set_enforcement_filters(
@@ -36,6 +58,8 @@ def set_enforcement_filters(
     """
     Set identity and semantic enforcement filters in the retriever.
     """
+    # Clear existing enforcement filters
+    clear_enforcement_filters(retriever)
     if auth_context is not None:
         _set_identity_enforcement_filter(retriever, auth_context)
     if semantic_context is not None:
@@ -233,6 +257,244 @@ def _apply_pinecone_authorization_filter(
         }
 
 
+def _apply_pgvector_filter(
+    search_kwargs: dict, filters: Optional[Any], pebblo_filter: dict
+) -> None:
+    """
+    Apply pebblo filters in the search_kwargs filters.
+    """
+    if isinstance(filters, dict):
+        if len(filters) == 1:
+            # The only operators allowed at the top level are $and, $or, and $not
+            # First check if an operator or a field
+            key, value = list(filters.items())[0]
+            if key.startswith("$"):
+                # Then it's an operator
+                if key.lower() not in ["$and", "$or", "$not"]:
+                    raise ValueError(
+                        f"Invalid filter condition. Expected $and, $or or $not "
+                        f"but got: {key}"
+                    )
+                if not isinstance(value, list):
+                    raise ValueError(
+                        f"Expected a list, but got {type(value)} for value: {value}"
+                    )
+
+                # Here we handle the $and, $or, and $not operators(Semantic filters)
+                if key.lower() == "$and":
+                    # Add pebblo_filter to the $and list as it is
+                    value.append(pebblo_filter)
+                elif key.lower() == "$not":
+                    # Check if pebblo_filter is an operator or a field
+                    _key, _value = list(pebblo_filter.items())[0]
+                    if _key.startswith("$"):
+                        # Then it's a operator
+                        if _key.lower() == "$not":
+                            # It's Semantic filter, add it's value to filters
+                            value.append(_value)
+                            logger.warning(
+                                "Adding $not operator to the existing $not operator"
+                            )
+                            return
+                        else:
+                            # Only $not operator is supported in pebblo_filter
+                            raise ValueError(
+                                f"Invalid filter key. Expected '$not' but got: {_key}"
+                            )
+                    else:
+                        # Then it's a field(Auth filter), move filters into $and
+                        search_kwargs["filter"] = {"$and": [filters, pebblo_filter]}
+                        return
+                elif key.lower() == "$or":
+                    search_kwargs["filter"] = {"$and": [filters, pebblo_filter]}
+            else:
+                # Then it's a field and we can check pebblo_filter now
+                # Check if pebblo_filter is an operator or a field
+                _key, _ = list(pebblo_filter.items())[0]
+                if _key.startswith("$"):
+                    # Then it's a operator
+                    if _key.lower() == "$not":
+                        # It's a $not operator(Semantic filter), move filters into $and
+                        search_kwargs["filter"] = {"$and": [filters, pebblo_filter]}
+                        return
+                    else:
+                        # Only $not operator is allowed in pebblo_filter
+                        raise ValueError(
+                            f"Invalid filter key. Expected '$not' but got: {_key}"
+                        )
+                else:
+                    # Then it's a field(This handles Auth filter)
+                    filters.update(pebblo_filter)
+                    return
+        elif len(filters) > 1:
+            # Then all keys have to be fields (they cannot be operators)
+            for key in filters.keys():
+                if key.startswith("$"):
+                    raise ValueError(
+                        f"Invalid filter condition. Expected a field but got: {key}"
+                    )
+            # filters should all be fields and we can check pebblo_filter now
+            # Check if pebblo_filter is an operator or a field
+            _key, _ = list(pebblo_filter.items())[0]
+            if _key.startswith("$"):
+                # Then it's a operator
+                if _key.lower() == "$not":
+                    # It's a $not operator(Semantic filter), move filters into '$and'
+                    search_kwargs["filter"] = {"$and": [filters, pebblo_filter]}
+                    return
+                else:
+                    # Only $not operator is supported in pebblo_filter
+                    raise ValueError(
+                        f"Invalid filter key. Expected '$not' but got: {_key}"
+                    )
+            else:
+                # Then it's a field(This handles Auth filter)
+                filters.update(pebblo_filter)
+                return
+        else:
+            # Got an empty dictionary for filters, set pebblo_filter in filter
+            search_kwargs.setdefault("filter", {}).update(pebblo_filter)
+    elif filters is None:
+        # If filters is None, set pebblo_filter as a new filter
+        search_kwargs.setdefault("filter", {}).update(pebblo_filter)
+    else:
+        raise ValueError(
+            f"Invalid filter. Expected a dictionary/None but got type: {type(filters)}"
+        )
+
+
+def _pgvector_clear_pebblo_filters(
+    search_kwargs: dict, filters: dict, pebblo_filter_key: str
+) -> None:
+    """
+    Remove pebblo filters from the search_kwargs filters.
+    """
+    if isinstance(filters, dict):
+        if len(filters) == 1:
+            # The only operators allowed at the top level are $and, $or, and $not
+            # First check if an operator or a field
+            key, value = list(filters.items())[0]
+            if key.startswith("$"):
+                # Then it's an operator
+                # Validate the operator's key and value type
+                if key.lower() not in ["$and", "$or", "$not"]:
+                    raise ValueError(
+                        f"Invalid filter condition. Expected $and, $or or $not "
+                        f"but got: {key}"
+                    )
+                elif not isinstance(value, list):
+                    raise ValueError(
+                        f"Expected a list, but got {type(value)} for value: {value}"
+                    )
+
+                # Here we handle the $and, $or, and $not operators
+                if key.lower() == "$and":
+                    # Remove the pebblo filter from the $and list
+                    for i, _filter in enumerate(value):
+                        if pebblo_filter_key in _filter:
+                            # This handles Auth filter
+                            value.pop(i)
+                            break
+                        # Check for $not operator with Semantic filter
+                        if "$not" in _filter:
+                            sem_filter_found = False
+                            # This handles Semantic filter
+                            for j, nested_filter in enumerate(_filter["$not"]):
+                                if pebblo_filter_key in nested_filter:
+                                    if len(_filter["$not"]) == 1:
+                                        # If only one filter is left,
+                                        # then remove the $not operator
+                                        value.pop(i)
+                                    else:
+                                        value[i]["$not"].pop(j)
+                                    sem_filter_found = True
+                                    break
+                            if sem_filter_found:
+                                break
+                    if len(value) == 1:
+                        # If only one filter is left, then remove the $and operator
+                        search_kwargs["filter"] = value[0]
+                elif key.lower() == "$not":
+                    # Remove the pebblo filter from the $not list
+                    for i, _filter in enumerate(value):
+                        if pebblo_filter_key in _filter:
+                            # This removes Semantic filter
+                            value.pop(i)
+                            break
+                    if len(value) == 0:
+                        # If no filter is left, then unset the filter
+                        search_kwargs["filter"] = {}
+                elif key.lower() == "$or":
+                    # If $or, pebblo filter will not be present
+                    return
+            else:
+                # Then it's a field, check if it's a pebblo filter
+                if key == pebblo_filter_key:
+                    filters.pop(key)
+                return
+        elif len(filters) > 1:
+            # Then all keys have to be fields (they cannot be operators)
+            if pebblo_filter_key in filters:
+                # This handles Auth filter
+                filters.pop(pebblo_filter_key)
+            return
+        else:
+            # Got an empty dictionary for filters, ignore the filter
+            return
+    elif filters is None:
+        # If filters is None, ignore the filter
+        return
+    else:
+        raise ValueError(
+            f"Invalid filter. Expected a dictionary/None but got type: {type(filters)}"
+        )
+
+
+def _apply_pgvector_semantic_filter(
+    search_kwargs: dict, semantic_context: Optional[SemanticContext]
+) -> None:
+    """
+    Set semantic enforcement filter in search_kwargs for PGVector vectorstore.
+    """
+    # Check if semantic_context is provided
+    if semantic_context is not None:
+        _semantic_filters = []
+        filters = search_kwargs.get("filter")
+        if semantic_context.pebblo_semantic_topics is not None:
+            # Add pebblo_semantic_topics filter to search_kwargs
+            topic_filter: dict = {
+                "pebblo_semantic_topics": {
+                    "$eq": semantic_context.pebblo_semantic_topics.deny
+                }
+            }
+            _semantic_filters.append(topic_filter)
+
+        if semantic_context.pebblo_semantic_entities is not None:
+            # Add pebblo_semantic_entities filter to search_kwargs
+            entity_filter: dict = {
+                "pebblo_semantic_entities": {
+                    "$eq": semantic_context.pebblo_semantic_entities.deny
+                }
+            }
+            _semantic_filters.append(entity_filter)
+
+        if len(_semantic_filters) > 0:
+            semantic_filter: dict = {"$not": _semantic_filters}
+            _apply_pgvector_filter(search_kwargs, filters, semantic_filter)
+
+
+def _apply_pgvector_authorization_filter(
+    search_kwargs: dict, auth_context: Optional[AuthContext]
+) -> None:
+    """
+    Set identity enforcement filter in search_kwargs for PGVector vectorstore.
+    """
+    if auth_context is not None:
+        auth_filter: dict = {"authorized_identities": {"$eq": auth_context.user_auth}}
+        filters = search_kwargs.get("filter")
+        _apply_pgvector_filter(search_kwargs, filters, auth_filter)
+
+
 def _set_identity_enforcement_filter(
     retriever: VectorStoreRetriever, auth_context: Optional[AuthContext]
 ) -> None:
@@ -243,10 +505,12 @@ def _set_identity_enforcement_filter(
     of the retriever based on the type of the vectorstore.
     """
     search_kwargs = retriever.search_kwargs
-    if isinstance(retriever.vectorstore, Pinecone):
+    if retriever.vectorstore.__class__.__name__ == PINECONE:
         _apply_pinecone_authorization_filter(search_kwargs, auth_context)
-    elif isinstance(retriever.vectorstore, Qdrant):
+    elif retriever.vectorstore.__class__.__name__ == QDRANT:
         _apply_qdrant_authorization_filter(search_kwargs, auth_context)
+    elif retriever.vectorstore.__class__.__name__ == PGVECTOR:
+        _apply_pgvector_authorization_filter(search_kwargs, auth_context)
 
 
 def _set_semantic_enforcement_filter(
@@ -259,7 +523,9 @@ def _set_semantic_enforcement_filter(
     of the retriever based on the type of the vectorstore.
     """
     search_kwargs = retriever.search_kwargs
-    if isinstance(retriever.vectorstore, Pinecone):
+    if retriever.vectorstore.__class__.__name__ == PINECONE:
         _apply_pinecone_semantic_filter(search_kwargs, semantic_context)
-    elif isinstance(retriever.vectorstore, Qdrant):
+    elif retriever.vectorstore.__class__.__name__ == QDRANT:
         _apply_qdrant_semantic_filter(search_kwargs, semantic_context)
+    elif retriever.vectorstore.__class__.__name__ == PGVECTOR:
+        _apply_pgvector_semantic_filter(search_kwargs, semantic_context)